Designing a Model for Predicting Spiritual Levels in Organizations Through Artificial Neural Network (ANN)

Rapid progress in the intention towards spirituality has resulted in presenting a new paradigm in organizational science. Its advantages relate to establishing a new spiritual working atmosphere which has drawn the attention of many researchers. Due to the importance of spirituality in working environment, this research is intended to design a model for predicting spirituality through artificial neural network. This is a descriptive-exploratory research whose population contained all the employees of Yazd Gas Company (585 employees). The sample group included 140 subjects (26 women, 114 men), being exposed to a researcher-made questionnaire of 46 questions at individual, organizational, spiritual and group levels. The reliability and validity of the questionnaire had already been confirmed. The results indicated that factors relating to organizational processes including employees’ perception of the company’s sympathy with people, considering the spiritual needs of the employees, holding spiritual instructive classes, and selecting the employees on the basis of spiritual oriented philosophy turned out to be the most effective ones.